TAXI TRIP TRAVEL TIME AND FARE PREDICTION
DOI:
https://doi.org/10.24867/31BE23KrsmanovicKeywords:
data analysis and processing, machine learning algorithms, prediction, taxi ridesAbstract
The paper presents the process of creating a system for analysing and processing data on taxi rides in New York. Two datasets were utilized – one containing data on taxi rides and the other containing weather data. Preprocessing was performed on these data sets to create the final dataset for model training. Different machine learning algorithms were employed to predict duration and price. Several experiments were conducted, and the results are compared to those from the literature.
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